Dynatrace

AUGUST 2, 2021

Hyperscale is the ability of an architecture to scale appropriately as increased demand is added to the system. Some examples include Amazon, Microsoft, and Google. Dynatrace is a partner with the hyperscalers you use most, with deep innovative integrations with AWS , Azure , Google , and many more. What is hyperscale?

Azure 264

Azure Cloud Google AWS 264

Dynatrace

FEBRUARY 8, 2021

Leveraging cloud-native technologies like Kubernetes or Red Hat OpenShift in multicloud ecosystems across Amazon Web Services (AWS) , Microsoft Azure, and Google Cloud Platform (GCP) for faster digital transformation introduces a whole host of challenges. They are required to understand the full story of what happened in a system.

Cloud 263

Cloud Azure Analytics Open Source 263

Scalegrid

MAY 13, 2020

In this blog post, we explain what Greenplum is, and break down the Greenplum architecture, advantages, major use cases, and how to get started. It’s architecture was specially designed to manage large-scale data warehouses and business intelligence workloads by giving you the ability to spread your data out across a multitude of servers.

Big Data 321

Big Data Database Artificial Intelligence Open Source 321

Dynatrace

FEBRUARY 9, 2022

Cloud vendors such as Amazon Web Services (AWS), Microsoft, and Google provide a wide spectrum of serverless services for compute and event-driven workloads, databases, storage, messaging, and other purposes. AI-powered automation and deep, broad observability for serverless architectures. Dynatrace news. New to Dynatrace?

Serverless 200

Serverless Azure Lambda AWS 200

Dynatrace

AUGUST 11, 2022

Cloud providers such as Google, Amazon Web Services, and Microsoft also followed suit with frameworks such as Google Cloud Functions , AWS Lambda , and Microsoft Azure Functions. FaaS vs. monolithic architectures. Monolithic architectures were commonplace with legacy, on-premises software solutions.

Development 262

Development Serverless Best Practices Lambda 262

Dynatrace

NOVEMBER 10, 2022

To take full advantage of the scalability, flexibility, and resilience of cloud platforms, organizations need to build or rearchitect applications around a cloud-native architecture. So, what is cloud-native architecture, exactly? What is cloud-native architecture? The principles of cloud-native architecture.

Cloud 162

Cloud Architecture Serverless Infrastructure 162

Dynatrace

JUNE 29, 2022

To drive better outcomes using hybrid cloud architectures, it helps to understand their benefits—and how to orchestrate them seamlessly. What is hybrid cloud architecture? Hybrid cloud architecture is a computing environment that shares data and applications on a combination of public clouds and on-premises private clouds.

Infrastructure 194

Infrastructure Cloud Azure AWS 194

Dynatrace

NOVEMBER 11, 2021

According to Forrester Research, the COVID-19 pandemic fueled investment in “hyperscaler public clouds”—Amazon Web Services (AWS), Google Cloud Platform and Microsoft Azure. The session will cover how Dynatrace can help you deliver better software faster as you build applications based on AWS Lambda or microservices architecture.

AWS 225

AWS Cloud Lambda Azure 225

Dynatrace

DECEMBER 2, 2024

DevOps and security teams managing today’s multicloud architectures and cloud-native applications are facing an avalanche of data. However, the drive to innovate faster and transition to cloud-native application architectures generates more than just complexity — it’s creating significant new risk.

Artificial Intelligence 190

Artificial Intelligence DevOps Architecture Cloud 190

Dynatrace

OCTOBER 1, 2021

As dynamic systems architectures increase in complexity and scale, IT teams face mounting pressure to track and respond to conditions and issues across their multi-cloud environments. Dynatrace news. As teams begin collecting and working with observability data, they are also realizing its benefits to the business, not just IT.

Metrics 363

Metrics Open Source Monitoring Cloud 363

Dynatrace

MARCH 8, 2022

Dynatrace Delivers Most Complete Observability for Multicloud Serverless Architectures. Dynatrace has extended the platform’s deep and broad observability and advanced AIOps capabilities to all major serverless architectures. Dynatrace Launches DevSecOps Automation Alliance Partner Program.

Code 194

Code Software Software Serverless 194

Dynatrace

MAY 19, 2022

Example 1: Architecture boundaries. First, they took a big step back and looked at their end-to-end architecture (Figure 2). SLO dashboard defined by architectural boundary. In this case, the customer offers a managed service that runs on Amazon Web Services, Microsoft Azure, and Google. So, what did they do?

Automotive 279

Automotive Latency Architecture Azure 279

Dynatrace

JULY 15, 2024

You also might be required to capture syslog messages from cloud services on AWS, Azure, and Google Cloud related to resource provisioning, scaling, and security events. These include traditional on-premises network devices and servers for infrastructure applications like databases, websites, or email.

Infrastructure 231

Infrastructure Network Azure Monitoring 231

Dynatrace

JUNE 20, 2023

Data is proliferating in separate silos from containers and Kubernetes to open source APIs and software to serverless compute services, such as AWS and Azure. Although the APIs were all managed by the Google API manager Apigee, the bank group was not getting consistent data types from the output.

Open Source 206

Open Source Google Serverless Azure 206

Dynatrace

APRIL 30, 2019

At Neotys PAC 2019 in Chamonix, France, I presented approaches on how to solve this problem by looking at examples from companies such as Intuit, Dynatrace, Google, Netflix, T-Systems and others. Bamboo, Azure DevOps, AWS CodePipeline …. Beyond basic metrics: Detecting Architectural Regressions.

Architecture 126

Architecture Open Source Azure Metrics 126

Dynatrace

JANUARY 16, 2023

Most Kubernetes clusters in the cloud (73%) are built on top of managed distributions from the hyperscalers like AWS Elastic Kubernetes Service (EKS), Azure Kubernetes Service (AKS), or Google Kubernetes Engine (GKE). Cloud-hosted Kubernetes clusters are on par to overtake on-premises deployments in 2023.

Open Source 351

Open Source Java Operating System Programming 351

Dynatrace

MARCH 22, 2022

While many companies now enlist public cloud services such as Amazon Web Services, Google Public Cloud, or Microsoft Azure to achieve their business goals, a majority also use hybrid cloud infrastructure to accommodate traditional applications that can’t be easily migrated to public clouds. build microservices-based architecture.

Infrastructure 237

Infrastructure Cloud Java Azure 237

Dynatrace

DECEMBER 8, 2021

You may be using serverless functions like AWS Lambda , Azure Functions , or Google Cloud Functions, or a container management service, such as Kubernetes. In contrast to modern software architecture, which uses distributed microservices, organizations historically structured their applications in a pattern known as “monolithic.”

Cloud 236

Cloud Serverless Hardware Operating System 236

Dynatrace

SEPTEMBER 13, 2023

And how can you verify this performance consistently across a multicloud environment that also uses Microsoft Azure and Google Cloud Platform frameworks?

AWS 259

AWS Efficiency Azure Cloud 259

Dynatrace

MARCH 18, 2024

Suboptimal architecture design. Hyperscaler cloud service providers such as AWS, Microsoft Azure, and Google Cloud Platform can do this, too. Flexible pricing models that offer discounts based on commitment or availability can greatly reduce cloud waste. Poorly designed cloud solutions can become costly over time.

Best Practices 245

Best Practices Strategy Cloud AWS 245

Dynatrace

OCTOBER 2, 2024

This architecture also means you’re not required to determine your log data use cases beforehand or while analyzing logs within the new Logs app. With Dynatrace, there is no need to think about schema and indexes, re-hydration, or hot/cold storage concepts.

Azure 186

Azure DevOps Infrastructure Cloud 186

Dynatrace

SEPTEMBER 4, 2020

If you’re not familiar with Site Reliability Engineering (SRE) and the concepts of Service Level Indicators (SLIs), Service Level Objectives (SLOs) and Service Level Agreements (SLAs) I recommend watching the YouTube Video from Google Engineers called SLIs, SLOs, SLAs, oh my! class SRE implements DevOps) !

DevOps 252

DevOps Metrics Innovation Azure 252

Dynatrace

JANUARY 5, 2022

In recent years, customer projects have moved towards complex cloud architectures, including dozens of microservices and different technology stacks which are challenging to develop, maintain, and optimize for resiliency. A decent solution is the W3C Trace context standard , created by Dynatrace, Google, Microsoft, and others.

Testing 229

Testing Open Source Metrics Infrastructure 229

Dynatrace

JANUARY 31, 2024

Retrieval-augmented generation emerges as the standard architecture for LLM-based applications Given that LLMs can generate factually incorrect or nonsensical responses, retrieval-augmented generation (RAG) has emerged as an industry standard for building GenAI applications. million AI server units annually by 2027, consuming 75.4+

Cache 215

Cache Azure Infrastructure Monitoring 215

Dynatrace

MAY 17, 2019

Especially in dynamic microservices architectures, distributed tracing is an essential component of efficient monitoring, application optimization, debugging, and troubleshooting. Along with Microsoft, Google, and others, Dynatrace is a co-editor of the W3C Trace Context standard. Dynatrace news. What is distributed tracing?

Azure 150

Azure Open Source Transportation Programming 150

Dynatrace

JULY 8, 2019

I’ve been speaking to customers over the last few months about our new cloud architecture for Synthetic testing locations and their confusion is clear. With Cloud, we are leveraging the largest cloud providers’ locations, including AWS, Azure, Alibaba and Google coming very soon. So yes, we will have real physical locations.

Cloud 203

Cloud Hardware Testing Logistics 203

Dynatrace

NOVEMBER 2, 2023

Spiraling cloud architecture and application costs have driven the need for new approaches to cloud spend. A McKinsey & Company FinOps study indicated that “enterprises often don’t develop at-scale FinOps capabilities until their spending on cloud architecture reaches $100 million per year.”

Cloud 208

Cloud Strategy Retail Energy 208

Dynatrace

FEBRUARY 16, 2023

That’s why, in part, major cloud providers such as Amazon Web Services, Microsoft Azure, and Google Cloud Platform are discussing cloud optimization. Traditional cloud monitoring methods can no longer scale to meet organizations’ demands, as multicloud architectures continue to expand.

Artificial Intelligence 206

Artificial Intelligence Analytics Cloud Innovation 206

Dynatrace

SEPTEMBER 5, 2023

Organizations have clearly experienced growth, agility, and innovation as they move to cloud computing architecture. As a result, many IT teams have turned to cloud observability platforms to reduce blind spots in their cloud architecture, to resolve problems rapidly, and to deliver better customer experience. Cloud modernization.

Cloud 233

Cloud Artificial Intelligence Innovation Azure 233

High Scalability

SEPTEMBER 28, 2018

Martin Sústrik : Philosophers, by and large, tend to be architecture astronauts. Programmers' insight is that architecture astronauts fail. vl : I have a hilarious story about this from Google: I wanted second 30" monitor, so I filed a ticket. That's not an obvious statement at all. There more.

Internet 35

Internet Internet Scalability Blockchain 35

Dynatrace

JUNE 7, 2023

” In recent years, cloud service providers such as Amazon Web Services, Microsoft Azure, IBM, and Google began offering Kubernetes as part of their managed services. The managed service runs on public clouds such as Amazon Web Services and Google Cloud. This self-managed offering can run on premises or in the cloud.

Open Source 219

Open Source Social Media Infrastructure Operating System 219

Dynatrace

NOVEMBER 17, 2020

The rapidly evolving digital landscape is one important factor in the acceleration of such transformations – microservices architectures, service mesh, Kubernetes, Functions as a Service (FaaS), and other technologies now enable teams to innovate much faster. New cloud-native technologies make observability more important than ever….

Analytics 164

Analytics Technology Technology Cloud 164

cdemi

FEBRUARY 20, 2017

Serverless is currently a hot topic in many modern architectural patterns. There will be many advances in the field over the coming years and it will be fascinating to see how they fit into our architectural toolkit. Whether you choose Azure Functions or AWS Lambda, you cannot easily switch to another. Advantages. Disadvantages.

Serverless 64

Serverless Architecture Lambda Azure 64

Dynatrace

MARCH 24, 2023

Originally created by Google, Kubernetes was donated to the CNCF as an open source project. Part of its popularity owes to its availability as a managed service through the major cloud providers, such as Amazon Elastic Kubernetes Service , Google Kubernetes Engine , and Microsoft Azure Kubernetes Service.

Infrastructure 198

Infrastructure Open Source Operating System Cloud 198

O'Reilly

MAY 19, 2020

AWS is far and away the cloud leader, followed by Azure (at more than half of share) and Google Cloud. But most Azure and GCP users also use AWS; the reverse isn’t necessarily true. However, close to half (~48%) use Microsoft Azure, and close to one-third (~32%) use Google Cloud Platform (GCP).

Cloud 141

Cloud Serverless AWS DevOps 141

Dynatrace

OCTOBER 30, 2023

The growing challenge in modern IT environments is the exponential increase in log telemetry data, driven by the expansion of cloud-native, geographically distributed, container- and microservice-based architectures. All rights reserved. ** The Forrester Observability Reference Architecture: Putting It Into Practice, Forrester Research, Inc.,

Best Practices 256

Best Practices Analytics Artificial Intelligence Infrastructure 256

Dynatrace

JULY 13, 2020

The bold ones were building distributed architectures using SOA, trying to implement ESBs and this all looked good on paper but ended up being difficult to implement. . ? Containers and Microservices: R evolution in the architecture of distributed systems . ? GKE (Google Cloud Platform) . GKE (Google Cloud Platform) .

Google 133

Google DevOps Ecommerce Cloud 133